Amazon Lex, Amazon Polly, and Amazon Rekognition are based on the same proven, highly scalable Amazon technology built by the thousands of deep learning and machine learning experts across the company. Amazon AI services all provide high-quality, high-accuracy AI capabilities that are scalable and cost-effective. Amazon AI services are fully managed services so there are no deep learning algorithms to build, no machine learning models to train, and no up-front commitments or infrastructure investments required. This frees developers to focus on defining and building an entirely new generation of apps that can see, hear, speak, understand, and interact with the world around them. To learn more about Amazon Lex, Amazon Polly, or Amazon Rekognition, visit: https://aws.amazon.com/amazon-ai

Amazon's cloud services platform Amazon Web Services recently announced three AI services it said will make it easy for developers to build apps that can understand natural language, turn text into speech, have conversations using voice or text, analyze images and recognize faces, objects and scenes. This, in turn, underscores the increasing importance of AI to consumers, brands and marketers, but also raises some questions about how it will – and should – be developed. Building apps with AI capabilities has been challenging to date because doing so requires access to vast amounts of data and specialized expertise in machine learning and neural networks, Amazon said in a press release. "The combination of better algorithms and broad access to massive amounts of data and cost-effective computing power provided by the cloud is making AI a reality for application developers," added Raju Gulabani, vice president of databases, analytics and AI at AWS, in a statement. "Thousands of machine learning and deep learning experts across Amazon have been developing AI technologies for years to predict what customers might like to read, to drive efficiencies in our fulfillment centers through robotics and computer vision technologies and to give customers our AI-powered virtual assistant, Alexa. Now, we are making the technology underlying these innovations available to any developer…we are excited to see how customers use Amazon Lex, Amazon Polly and Amazon Rekognition to build a new generation of apps that have human-like intelligence and can see, hear, speak and interact with people and their environments."

BROSSARD, QUEBEC--(Marketwired - Dec. 2, 2016) - (TSX VENTURE:ADK) - Diagnos Inc. ("DIAGNOS" or "the Company") a leader in the use of artificial intelligence and advanced knowledge extraction techniques is pleased to announce a grant of 500,000 stock options to one of its directors. The exercise price of these options has been established at $0.09 per share. The expiry date to which these options can be exercised has been fixed to December 2, 2021. All monies quoted in this press release shall be stated in lawful money of Canada. Founded in 1998, DIAGNOS is a publicly traded Canadian corporation with a mission to commercialize technologies combining contextual imaging and traditional data mining thereby improving decision making processes.

BROSSARD, QUEBEC--(Marketwired - Dec 2, 2016) - (TSX VENTURE:ADK) - Diagnos Inc. ("DIAGNOS" or "the Company") a leader in the use of artificial intelligence and advanced knowledge extraction techniques is pleased to announce a grant of 500,000 stock options to one of its directors. The exercise price of these options has been established at $0.09 per share. The expiry date to which these options can be exercised has been fixed to December 2, 2021. All monies quoted in this press release shall be stated in lawful money of Canada. Founded in 1998, DIAGNOS is a publicly traded Canadian corporation with a mission to commercialize technologies combining contextual imaging and traditional data mining thereby improving decision making processes.

Use of machine learning and predictive analytics to improve health outcomes has so far been limited to highly-trained data scientists, mostly in the nation's top academic medical centers. By making its central repository of proven machine learning algorithms available for free, healthcare.ai The healthcare.ai site provides one central spot to download algorithms and tools, read documentation, request new features, submit questions, follow the blog, and contribute code. Health Catalyst has used healthcare.ai to build predictive models that drive its clients' outcomes improvement efforts and span across the company's product lines. Models include but are not limited to a predictive model for central line associated blood stream infection (CLABSI), readmission models for COPD and other chronic conditions, schedule optimization, and financial predictions such as patient propensity to pay.

What makes Bach sound like Bach? MusicNet is a new publicly available dataset from UW researchers that labels each note of 330 classical compositions in ways that can teach machine learning algorithms about the basic structure of music.Yngve Bakken Nilsen, flickr The composer Johann Sebastian Bach left behind an incomplete fugue upon his death, either as an unfinished work or perhaps as a puzzle for future composers to solve. A classical music dataset released Wednesday by University of Washington researchers -- which enables machine learning algorithms to learn the features of classical music from scratch -- raises the likelihood that a computer could expertly finish the job. MusicNet is the first publicly available large-scale classical music dataset with curated fine-level annotations. It's designed to allow machine learning researchers and algorithms to tackle a wide range of open challenges -- from note prediction to automated music transcription to offering listening recommendations based on the structure of a song a person likes, instead of relying on generic tags or what other customers have purchased. "At a high level, we're interested in what makes music appealing to the ears, how we can better understand composition, or the essence of what makes Bach sound like Bach. It can also help enable practical applications that remain challenging, like automatic transcription of a live performance into a written score," said Sham Kakade, a UW associate professor of computer science and engineering and of statistics.

SYDNEY--(BUSINESS WIRE)--Cylance Inc., the company that is revolutionising cybersecurity with the practical application of artificial intelligence to prevent the most advanced cyber threats, today announced that it has selected Arrow Electronics, Inc. as its distributor in Australia and New Zealand (ANZ). This year, Cylance announced its initial launch into Australia to service market growth across Asia Pacific. Arrow will support Cylance in expanding its regional footprint and providing customers with cyberattack prevention technology where traditional anti-virus software has failed. According to Andy Solterbeck, vice president of Cylance Asia Pacific, Arrow was selected because of its extensive security experience and credentials in the local region. "We are excited to work with Arrow as a distributor that is recognised for its proven track record of releasing highly disruptive technologies into the Australia and New Zealand markets. We look forward to leveraging Arrow's infrastructure and reseller programs to scale the business and enable our customers to upskill quickly," said Solterbeck.

These clumsy noisy human-built flying machines put human eyes into previously avian domains, scaring bears and provoking all sorts of natural animal rage. PowerVision Robot's new drone isn't just an attempt to usurp the sky from its feathered forebearers. No, their elaborate flying camera has the audacity to be egg-shaped, an affront to the entire lifecycle of the beasts of the sky. They believe their PowerEgg will be light enough to fit in a backpack, complete with a "360 Panoramic, 4K HD Camera, 3-axis Gimbal," according to their press release. It is also, notably, egg-shaped.

Driving so-called'conversational commerce' is the next phase in the travel company-customer relationship but it's a complicated affair, as Pamela Whitby has been finding out In what Thomson is hailing as an'industry first', last week the holiday group said it would trial a travel search tool using IBM's Watson Technology, which uses natural language processing (NLP) and artificial intelligence to allow computers to think like a human. In a company press release, Jeremy Osborne, Director of Strategic Innovation, TUI UK&I is quoted saying: "We wanted to test whether a conversational search experience would resonate with our customers as a new, fun and easy way to find their ideal holiday". And the response, it seems, was overwhelmingly positive with 77% of participants in the survey saying they would find a virtual assistant useful. The idea is that Thomson customers will be able to interact via a simple chat interface to get responses in real-time to their holiday queries.For the uninitiated, this may sound like Thomson is launching a chat bot. But the group's conversational tool, which is still in beta, is still one step away from this. IBM's Watson Technology, which Thomson is using, is not a chat bot solution in itself, but rather a tool to use for NLP and eventually artificial intelligence that will help make bots smarter.

TOKYO, Nov 29, 2016 - (ACN Newswire) - Fujitsu today announced it has developed five Zinrai-related services that are being rolled out incrementally in Japan, helping customers accelerate their use of artificial intelligence. These services are based on the company's foundation of AI technology and knowledge, and are part of the "Human Centric AI Zinrai" framework, Fujitsu released November 2015. Fujitsu is positioning these services on its FUJITSU Digital Business Platform MetaArc, which works to accelerate the business innovation of customers. The services being introduced are FUJITSU AI Solution Zinrai Platform Service, which offers 30 AI functions in API(1) form, developed in over 300 AI-related projects and field trials; FUJITSU AI Solution Zinrai Deep Learning, a deep-learning platform service that implements the world's fastest class of deep-learning processing; and FUJITSU AI Solution Zinrai Consulting Service, FUJITSU AI Solution Zinrai Integration Service, and FUJITSU AI Solution Zinrai Operations Service, for total support to customers on AI, from consulting to deployment and operations. Zinrai Platform Service and Zinrai Deep Learning are combined with consulting, deployment, and operations services so that customers can quickly build high-quality, high-performance AI-based business systems.